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Towards a Speech BCI Using ECoG

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Brain-Computer Interface Research

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

Abstract

Electrocorticography (ECoG) has emerged as a new signal platform for brain–computer interface (BCI) systems. Classically, the cortical physiology that has been commonly investigated and utilized for device control in humans has been brain signals from sensorimotor cortex. More recently, speech networks have emerged as a new neurophysiological substrate that could be used to both further improve on or complement existing motor-based control paradigms as well as expand BCI techniques to new clinical populations. We review the emerging literature associated with the scientific, clinical, and technical findings that provide the motivation and capability for speech-based BCIs.

Disclosures: ECL has stock ownership in the company Neurolutions.

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  1. Department of Biomedical Engineering, Washington University in St. Louis, Campus Box 8057, 660 South Euclid, St. Louis, MO, 63130, USA

    Eric C. Leuthardt, John Cunningham & Dennis Barbour

  2. Department of Neurosurgery, Washington University in St. Louis, School of Medicine, Campus Box 8057 660, South Euclid, St. Louis, MO, 63130, USA

    Eric C. Leuthardt

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  1. Eric C. Leuthardt
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  2. John Cunningham
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  3. Dennis Barbour
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Correspondence to Eric C. Leuthardt .

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  1. Guger Technologies OG, Sierningstrasse 14, Schiedlberg, 4521, Austria

    Christoph Guger

  2. , Cognitive Science Department, University of California, Baltimore Drive 5700Apt 167, San Diego, 91942, California, USA

    Brendan Z. Allison

  3. g.tec Guger Technologies OG, Herbersteinstrasse 60, Graz, 8020, Austria

    GĂĽnter Edlinger

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Leuthardt, E.C., Cunningham, J., Barbour, D. (2013). Towards a Speech BCI Using ECoG. In: Guger, C., Allison, B., Edlinger, G. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36083-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-36083-1_10

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